Used Tools & Technologies
GPU GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Software Development @ 7
Communication @ 4
API @ 4
System Architecture @ 4
Generative AI @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars. As an NVIDIAN, you'll be immersed in a diverse, supportive environment.
Responsibilities
- Build and implement next-generation NvSci software to enable seamless cross-platform functionality and efficient integration with user applications, hardware acceleration libraries, and frameworks on various SoCs.
- Collaborate with internal and external partners to improve APIs, simplify system architecture, enhance software flexibility and maintainability, and elevate developer experience.
- Evaluate trade-offs in resource-constrained environments and work closely with hardware and firmware engineers to optimize performance and improve middleware NvSci APIs.
- Lead end-to-end feature development for NvSci that meets stringent automotive safety and security standards (ISO 26262, ASPICE, ISO 21434), aligning with product roadmaps and release cycles.
- Research and integrate advanced software engineering practices, automation tools, and generative AI technologies to improve software reliability, maintainability, and scalability.
Requirements
- BS or MS in CS/CE/EE or related engineering field or equivalent experience.
- 8+ years of relevant software development experience.
- Proficiency in C/C++.
- Experience in system architecture and embedded systems, building complex systems with multiple threads, CPUs, accelerators, and chips.
- Strong understanding of Operating Systems.
- Excellent written and verbal communication skills and ability to convey complex technical concepts.
- Proven problem-solving skills with track record of driving solutions from concept to production.
- Ability to work effectively in cross-functional, distributed teams.
Compensation
- Base salary ranges by level:
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- You will also be eligible for equity and benefits (link: https://www.nvidia.com/en-us/benefits/).
Applications for this job will be accepted at least until May 31, 2026.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.